A comprehensive guide to statistical hypothesis testing with examples in SAS and R
When analyzing datasets the following questions often arise:
Is there a short hand procedure for a statistical test available in SAS or R?
If so, how do I use it?
If not, how do I program the test myself?
This book answers these questions and provides an overview of the most common
statistical test problems in a comprehensive way, making it easy to find and perform
an appropriate statistical test.
A general summary of statistical test theory is presented, along with a basic
description for each test, including the necessary prerequisites, assumptions, the
formal test problem and the test statistic. Examples in both SAS and R are provided,
along with program code to perform the test, resulting output and remarks
explaining the necessary program parameters.
Key features:
- Provides examples in both SAS and R for each test presented.
- Looks at the most common statistical tests, displayed in a clear and easy to follow way.
- Supported by a supplementary website http: //www.d-taeger.de featuring example
program code.
Academics, practitioners and SAS and R programmers will find this book a valuable
resource. Students using SAS and R will also find it an excellent choice for reference
and data analysis.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Dirk Taeger, Institute for Prevention and Occupational Medicine of the German Social
Accident Insurance, Institute of the Ruhr-Universität Bochum (IPA), Bochum, Germany
Sonja Kuhnt, Department of Computer Science, Dortmund University of Applied Sciences
and Arts, Dortmund, Germany
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Etat : New. This book provides a reference guide to statistical tests and their application to data using SAS and R. A general summary of statistical test theory is presented, along with a general description for each test, together with necessary prerequisites, assumptions, and the formal test problem. Num Pages: 306 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 252 x 168 x 20. Weight in Grams: 626. . 2014. . . . . N° de réf. du vendeur V9781119950219
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Etat : New. This book provides a reference guide to statistical tests and their application to data using SAS and R. A general summary of statistical test theory is presented, along with a general description for each test, together with necessary prerequisites, assumptions, and the formal test problem. Num Pages: 306 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 252 x 168 x 20. Weight in Grams: 626. . 2014. . . . . Books ship from the US and Ireland. N° de réf. du vendeur V9781119950219
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Gebunden. Etat : New. Dirk Taeger, Institute for Prevention and Occupational Medicine of the German SocialAccident Insurance, Institute of the Ruhr-Universitaet Bochum (IPA), Bochum, GermanySonja Kuhnt, Department of Computer Science, Dortmund University of Applied Sciencesand Ar. N° de réf. du vendeur 556576428
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